A software developer argues that many issues in large language model (LLM) applications are not due to hallucinations but rather "contract failures." These failures occur when an LLM, despite having sufficient context, violates the operational rules or "contract" set by the application, such as skipping required tool calls, returning malformed data, or ignoring crucial steps. The developer is building a Python SDK called DebugAI to help identify and categorize these specific failure types, moving beyond the general term "hallucination" to provide more actionable debugging insights. AI
IMPACT Reframes LLM debugging from hallucinations to specific contract violations, potentially improving application reliability.
RANK_REASON Developer opinion piece on LLM failure modes.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
